Recommendation method, device, electronic terminal and storage medium for charging station information

Abstract

The embodiment of the present invention discloses a method, device, electronic terminal and storage medium for recommending charging station information, the method comprising: in response to a recommendation request input by a user, determining the first time and the first remaining power of each charging station that the current vehicle travels to match the travel route; obtaining the charging queue information of each charging station at the first time from a cloud server; sorting the charging stations according to the first remaining power and the charging queue information, and recommending charging station information according to the sorting result. The technical solution of the embodiment of the present invention can provide reasonable travel charging suggestions based on multiple factors, which can improve the user's charging experience.

Description

Technical Field

[0001] Embodiments of the present invention relate to vehicle technology, and more particularly to a method, device, electronic terminal and storage medium for recommending charging station information. Background Art

[0002] A charging station can be considered as an energy station that provides charging services for the power batteries of electric vehicles (referred to as electric vehicles). In the prior art, during the driving of electric vehicles, usually only the information of the nearest charging station can be recommended and displayed. This recommendation method is relatively simple and cannot meet the charging needs of users during their trip, resulting in a poor charging experience for users. Summary of the invention

[0003] In view of this, the embodiments of the present invention provide a method, device, electronic terminal and storage medium for recommending charging station information, which can provide reasonable travel charging suggestions based on various factors and improve the user's charging experience.

[0004] In a first aspect, an embodiment of the present invention provides a method for recommending charging station information, which is applied to a vehicle terminal and includes:

[0005] In response to a recommendation request input by a user, determining a first time and a first remaining power of the current vehicle when the vehicle travels to each charging station matching the travel route;

[0006] Obtain the charging queue information of each charging station at the latest time from the cloud server;

[0007] The charging stations are sorted according to the first remaining power and the charging queue information, and the charging station information is recommended according to the sorting result.

[0008] In a second aspect, an embodiment of the present invention further provides a charging station information recommendation device, which is integrated in a vehicle terminal and includes:

[0009] A first remaining power matching module, configured to determine, in response to a recommendation request input by a user, a first time and a first remaining power for the current vehicle to travel to each charging station matching the travel route;

[0010] A charging queue information acquisition module is used to obtain the charging queue information of each charging station at the first time from the cloud server;

[0011] The charging station information recommendation module is used to sort the charging stations according to the first remaining power and the charging queue information, and recommend the charging station information according to the sorting result.

[0012] In a third aspect, an embodiment of the present invention further provides an electronic terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a method for recommending charging station information as provided in any embodiment of the present application is implemented.

[0013] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements a method for recommending charging station information as provided in any embodiment of the present application.

[0014] The embodiment of the present invention provides a method, device, electronic terminal and storage medium for recommending charging station information. The method for recommending charging station information includes: in response to a recommendation request input by a user, determining the first time and the first remaining power of each charging station that the current vehicle travels to match the travel route; obtaining the charging queue information of each charging station at the first time from a cloud server; sorting each charging station according to the first remaining power and the charging queue information, and recommending charging station information according to the sorting result. The technical solution of the embodiment of the present invention recommends more reasonable travel charging suggestions by combining multiple factors such as travel route, vehicle power consumption, and charging station queue conditions, which can meet the user's driving charging needs and improve the user's charging experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flowchart of a method for recommending charging station information provided by Embodiment 1 of the present invention;

[0016] Figure 2 It is a flowchart of a method for recommending charging station information provided by Embodiment 2 of the present invention;

[0017] Figure 3 is a flowchart of an optional example of a method for recommending charging station information provided in Embodiment 2 of the present invention;

[0018] Figure 4 This is a schematic diagram of the structure of a charging station information recommendation device provided in Embodiment 3 of the present invention;

[0019] Figure 5 It is a structural schematic diagram of an electronic terminal provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described through implementation methods with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In the following embodiments, each embodiment provides optional features and examples at the same time. The various features recorded in the embodiments can be combined to form multiple optional solutions. Each numbered embodiment should not be regarded as only one technical solution.

[0021] It is understandable that before using the technical solutions disclosed in the embodiments of the present invention, the type, scope of use, usage scenarios, etc. of the personal information involved in the present invention should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0022] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed will require obtaining and using the user's personal information (such as information related to the user's tram). Thus, the user can independently choose whether to provide personal information to software or hardware such as an electronic device, application, server or storage medium that performs the operation of the technical solution of the present invention according to the prompt message.

[0023] It is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and relevant provisions.

[0024] Before introducing the embodiments of the present invention, the application scenarios of the embodiments of the present invention are first exemplified: tram users all have mileage anxiety, worry about missing charging stations, and do not want to queue at charging stations. However, the existing navigation system can only display the information of the nearest charging station to the user, requiring the user to judge whether charging is needed, or requiring the user to plan the charging station in advance. If the charging station planned by the user happens to have a lot of users charging and there are long queues at the charging station, it will cause confusion in the user's itinerary planning and affect the itinerary experience. The method for recommending charging station information provided in this embodiment can start from the tram data of the entire network, combine charging station information, navigation information, and the status information of the vehicle itself, etc., to give more reasonable charging suggestion information, which can make full use of charging station resources and alleviate users' charging anxiety. For details, please refer to the method for recommending charging station information described in the following embodiments.

[0025] Embodiment 1

[0026] Figure 11 is a flowchart of a method for recommending charging station information provided in the first embodiment of the present invention. This embodiment is applicable to the case of dynamically recommending charging suggestions for electric vehicles. The method can be executed by the charging station recommendation device provided in the embodiment of the present invention, which can be implemented in software and / or hardware and can be configured in an electronic terminal, such as a vehicle terminal.

[0027] See also Figure 1 The charging station information recommendation method provided in this embodiment, when applied to a vehicle terminal, may include:

[0028] S110 . In response to a recommendation request input by a user, determine a first time and a first remaining power level for the current vehicle to travel to each charging station that matches the travel route.

[0029] Among them, the recommendation request can be understood as a request for indicating a recommendation for charging station information. The current vehicle can be understood as the vehicle that the user is currently driving or riding. The travel route can be understood as the route that needs to be traveled between the current vehicle and the expected destination. The charging stations that match the travel route can be understood as charging stations located on the travel route of the current vehicle or close to the travel route of the current vehicle. The first time can be understood as the time corresponding to when the current vehicle travels to each charging station. The first remaining power can be understood as the remaining power of the current vehicle after the current vehicle travels to each charging station.

[0030] The user may input a recommendation request on the vehicle terminal. For example, the user may click a recommendation button on a system application in the vehicle terminal; or click a recommendation button on a navigation application installed in the vehicle terminal. In the embodiment of the present invention, there is no restriction on the vehicle terminal where the user inputs the recommendation request.

[0031] The first time may be a time point or a time period. Specifically, the first time may be a specific time point when the current vehicle arrives at each charging station, or may be a time period when the current vehicle arrives at each charging station.

[0032] The first remaining power may be a power value or a power range. Specifically, the first remaining power may be a specific remaining power value when the vehicle arrives at each charging station, or a range of power values ​​within which the remaining power when the vehicle arrives at each charging station may be.

[0033] Specifically, in response to a recommendation request input by a user on the vehicle terminal to recommend charging station information, the vehicle terminal can determine a first time corresponding to the time it takes for the current vehicle to travel to each charging station on the travel route, and a first remaining power corresponding to the remaining power of the current vehicle after traveling to each charging station.

[0034] S120, obtaining charging queue information of each charging station at the latest from the cloud server.

[0035] Among them, the cloud server can be understood as a simple, efficient, safe, reliable, and elastically scalable computing service that can establish a communication connection with each vehicle terminal. The charging queue information can be obtained by the cloud server based on the number of charging piles at each charging station and the remaining power of each vehicle reaching each charging station. The charging pile can be understood as a pile bolt located in the charging station that can charge the current vehicle. There can be multiple charging piles in a charging station. Each vehicle can include the current vehicle and other vehicles.

[0036] The vehicle terminal can request charging queue information from the cloud server based on the first time of driving to each charging station that matches the itinerary route, so that the cloud server can predict the charging queue information. Among them, the process of predicting the charging queue information by the cloud server, for example, includes: according to the remaining power of each vehicle arriving at each charging station, the probability of each vehicle charging at the charging station can be predicted. According to the predicted probability of each vehicle charging at the charging station, the number of vehicles that may need to be charged in each charging station and the length of time the vehicle needs to be charged can be predicted. The charging queue information can be obtained by comparing the number of charging piles at the charging station with the predicted number of each vehicle that may be charged, and combining it with the length of time the vehicle needs to be charged. Among them, the charging queue information may include: the number of remaining charging piles at each charging station when there is no vehicle queuing for charging; the queue sequence number and the estimated queue length when there are vehicles queuing. After determining the charging queue information of each charging station at the first time, the cloud server can feed it back to the corresponding vehicle terminal.

[0037] S130. Sort the charging stations according to the first remaining power and the charging queue information, and recommend charging station information according to the sorting result.

[0038] The ranking result may be understood as the result of ranking each charging station. The charging station information may be understood as the relevant information corresponding to each charging station, such as the name and address of the charging station.

[0039] Specifically, the vehicle terminal sorts the charging stations according to the first remaining power and the charging queue information; and can recommend the names, addresses and other information of the first N (eg, 2, 3, etc.) recommended charging stations in the sorting results.

[0040] In addition, while recommending charging station information based on the sorting results, information such as the first time of reaching the recommended charging station, the first remaining power, and the charging queue information at the first time can also be displayed, so that users can understand more comprehensive driving charging information and improve user experience.

[0041] A method for recommending charging station information provided by an embodiment of the present invention determines the first time and the first remaining power of each charging station that the current vehicle travels to and matches the travel route in response to a recommendation request input by a user; obtains the charging queue information of each charging station at the first time from a cloud server; sorts each charging station according to the first remaining power and the charging queue information, and recommends charging station information according to the sorting result. The technical solution of the embodiment of the present invention recommends more reasonable travel charging suggestions by combining multiple factors such as the travel route, vehicle power consumption, and charging station queue conditions, which can meet the user's driving charging needs and improve the user's charging experience.

[0042] An optional technical solution is to sort each charging station according to the first remaining power and charging queue information, including: determining a first target charging station from each charging station according to each first remaining power, and sorting the first target charging station according to the charging queue information of the first target charging station at the corresponding first time.

[0043] Among them, the first target charging station can be understood as a charging station where the current vehicle is more likely to be charged, and the number of the first target charging station can be at least one. According to each first remaining power, determining the first target charging station from each charging station can include: a power range can be pre-set, if the first remaining power corresponding to the charging station is within the preset power range, it can be considered that the current vehicle is more likely to be charged at the charging station, and the charging station can be determined as the first target charging station. For example, T is the total power of the current vehicle, and the pre-set circuit range is [T*10%, T*50%]; when the first remaining power corresponding to charging station A is within the range of [T*10%, T*50%], charging station A can be determined as the first target charging station.

[0044] Sorting the first target charging station according to the charging queue information of the first target charging station at the corresponding first time may include: sorting the first target charging station according to the number of remaining charging piles, the number of vehicles in the queue, and the length of the queue at the first target charging station at the corresponding first time. Optionally, if there are charging stations with less queue numbers than the number of charging piles in the first target charging station, the charging stations with less queue numbers than the number of charging piles are prioritized. If there are no charging stations with less queue numbers than the number of charging piles in the first target charging station, the charging stations with the least queue numbers are prioritized. The advantage of this setting is that charging stations that save users' time can be recommended first.

[0045] Another optional technical solution is to determine the first time and the first remaining power of the current vehicle when it reaches each charging station that matches the travel route, including: re-determining the first time and the first remaining power of the current vehicle when it reaches each charging station that matches the travel route at preset time intervals.

[0046] The preset duration may be understood as a preset time length, for example, the preset duration may be ten minutes, twenty minutes, etc. Optionally, the preset duration may be preset by the vehicle terminal itself, or may be set by the user.

[0047] It should be noted that the user's travel route does not remain unchanged, and other factors such as the environment and road conditions may also affect the values ​​of the first time and the first remaining power at any time. Accordingly, the charging queue information of each charging station at the corresponding first time will also change. Therefore, in an embodiment of the present invention, the first time and the first remaining power of the current vehicle traveling to each charging station matching the travel route can be re-determined at a preset time interval.

[0048] Accordingly, the charging queue information of each charging station at the new first time can be obtained from the cloud server at every preset time. The cloud server can obtain the charging queue information by predicting at least one of the following: the number of charging piles that the current vehicle is traveling to each charging station on the route, the number of vehicles currently charging at each charging station and the remaining charging time required, the number of vehicles currently queuing for charging at each charging station, and the remaining power of each vehicle at each charging station. The predicted charging queue information is fed back to the vehicle terminal.

[0049] After receiving the new charging queue information, the vehicle terminal can sort the charging stations according to the new first remaining power and the new charging pairing information. By dynamically recommending charging station information according to the updated sorting results of each charging station, the recommendation accuracy can be improved and the user experience can be improved.

[0050] Another optional technical solution, after recommending charging station information based on the sorting results, may also include: in response to a selection instruction input by the user, determining a second target charging station from the recommended charging station information, and uploading the first time and the first remaining power of the current vehicle reaching the second target charging station to the cloud server, so that the cloud server determines the charging queue information.

[0051] The selection instruction may be understood as an instruction for selecting a target charging station. The second target charging station may be understood as a charging station selected by the user from the recommended charging station information.

[0052] Specifically, in response to a selection instruction input by the user, such as an instruction in response to the user clicking on a recommended charging station, a second target charging station selected by the user is determined from the recommended charging station information, and the first time and the first remaining power corresponding to the current vehicle reaching the second target charging station are uploaded to the cloud server, so that the cloud server re-determines the charging queue information corresponding to the second target charging station.

[0053] The advantage of this setting is that the server can update the charging queue information according to the target charging station selected by the user, providing the user with more accurate charging queue information of the charging station that the user may want to reach, thereby improving the user experience.

[0054] Embodiment 2

[0055] The method for recommending charging station information provided in this embodiment can be combined with the various optional schemes in the method for recommending charging station information provided in the above embodiments. The method for recommending charging station information provided in this embodiment describes in detail the first time and the first remaining power for determining the current vehicle to travel to each charging station that matches the travel route. By obtaining the travel-related data of the current vehicle; the travel-related data includes the current remaining power and the first distance of each charging station that currently matches the travel route; obtaining the first corresponding relationship between the current distance-time consumption and the second corresponding relationship between the current distance-power consumption; determining the first time for the current vehicle to travel to each charging station based on each first distance and the first corresponding relationship; determining the first remaining power for the current vehicle to travel to each charging station based on the current remaining power, each first distance and the second corresponding relationship. The first time and the first remaining power of each matching charging station can be made more accurate.

[0056] Figure 2 FIG. 1 is a flow chart of a method for recommending charging station information provided by Embodiment 2 of the present invention. Figure 2 The charging station information recommendation method provided in this embodiment, when applied to a vehicle terminal, may include:

[0057] S210. In response to a recommendation request input by a user, obtain trip-related data of the current vehicle; the trip-related data includes a current remaining power and a first distance of each charging station that currently matches the trip route.

[0058] The trip-related data may include, but are not limited to, data corresponding to the current vehicle status and data related to each charging station matching the trip route. The current remaining power may be understood as the remaining power of the current vehicle at the current time. The first distance may be understood as the distance from the current vehicle to each charging station at the current time.

[0059] Specifically, in response to the recommendation request input by the user, the vehicle terminal obtains travel-related data such as the current remaining power of the current vehicle and the distance from each charging station that currently matches the travel route to the current vehicle.

[0060] S220: Obtain a first corresponding relationship between current distance and time consumption and a second corresponding relationship between current distance and power consumption.

[0061] Among them, the first correspondence between the current distance and the time consumed can be understood as the correspondence between the current distance of the vehicle from the charging station and the time required to travel the current distance. The second correspondence between the current distance and the power consumption can be understood as the correspondence between the current distance of the vehicle from the charging station and the power required to travel the current distance. It should be noted that the first correspondence and the second correspondence can be mathematical formulas or logical models set in advance, or they can be logical formulas or logical models determined in real time. In the embodiment of the present invention, there is no restriction on the correspondence between the first correspondence and the second correspondence. Optionally, the vehicle terminal can obtain the first correspondence and the second correspondence from the cloud server, or the vehicle terminal can determine the first correspondence and the second correspondence itself.

[0062] S230: Determine the first time for the current vehicle to travel to each charging station according to each first distance and the first corresponding relationship.

[0063] Specifically, since the first corresponding relationship may be a corresponding relationship between the current distance and the time consumed, each first distance may be the current distance from the current vehicle to each charging station. Therefore, the time consumed to complete each first distance may be determined based on each first distance and the first corresponding relationship, and the first time for the current vehicle to travel to each charging station may be determined based on the current time point and the time consumed for each first distance.

[0064] S240: Determine a first remaining power of the current vehicle when traveling to each charging station according to the current remaining power, each first distance, and the second corresponding relationship.

[0065] Specifically, since the second corresponding relationship may be a corresponding relationship between the current distance and the power consumption, and each first distance may be the current distance between the current vehicle and each charging station, the power consumption for completing each first distance may be determined based on each first distance and the second corresponding relationship, and the first remaining power for the current vehicle to travel to each charging station may be determined based on the current remaining power and the power consumption for each first distance.

[0066] S250. Obtain the charging queue information of each charging station at the latest from the cloud server.

[0067] S260: Sort the charging stations according to the first remaining power and the charging queue information, and recommend charging station information according to the sorting result.

[0068] The charging station information recommendation method provided by the embodiment of the present invention obtains the current vehicle's travel-related data, then obtains the current first correspondence between distance and time consumption and the current second correspondence between distance and power consumption, determines the first time when the current vehicle travels to each charging station according to each first distance and the first correspondence, and finally determines the first remaining power when the current vehicle travels to each charging station according to the current remaining power, each first distance and the second correspondence. Thus, the first time and the first remaining power of each charging station matched can be made more accurate.

[0069] An optional technical solution, the trip-related data also includes at least one of the following: driving behavior data, current road condition data matching the trip route, and current environmental data matching the trip route; accordingly, the first remaining power of the current vehicle when it travels to each charging station is determined based on the following steps: the current remaining power, each first distance, driving behavior data, road condition data and environmental data are input into a machine learning model that represents the second corresponding relationship, and the first remaining power of the current vehicle when it travels to each charging station is obtained through the machine learning model.

[0070] It should be noted that in actual applications, factors such as the user's driving behavior, road conditions, and environment may affect the first remaining power. Therefore, in order to prevent other factors from affecting the first remaining power and make the determined first remaining power more accurate, the trip-related data may also include at least one of the following: driving behavior data, road condition data that currently matches the trip route, and environmental data that currently matches the trip route.

[0071] Among them, driving behavior data can be understood as the user's historical driving behavior habits, such as the user's habits of braking force and frequency, the user's habits of accelerator force and frequency, etc. Road condition data can be understood as the current road condition data, such as uphill distance, downhill distance, high-speed distance, congestion data, road maintenance data, etc. Environmental data can be understood as data corresponding to the environment on the road, such as environmental data corresponding to weather, temperature, and wind force.

[0072] Specifically, the current remaining power, each first distance, driving behavior data, road condition data and environmental data are input into a machine learning model that represents the second corresponding relationship, and the first remaining power of the current vehicle when traveling to each charging station is obtained through the pre-trained machine learning model.

[0073] Among them, the machine learning model can be pre-trained according to the data sample set. Among them, the data sample set is a sample set containing multiple sample groups consisting of the current remaining power, each first distance, driving behavior data, road condition data, environmental data and the corresponding first remaining power. The logical relationship between the trip-related data and the power consumption can be learned through the training process. The trained machine learning model can be used to quickly output the first remaining power of the current vehicle traveling to each charging station after inputting the current remaining power, each first distance, driving behavior data, road condition data and environmental data. Among them, the machine learning model can be a neural network model, and the neural network model can be a convolutional neural network model or a non-convolutional neural network, and the network parameters such as the number of layers, layers, different convolution kernels and / or weights of the neural network model are not limited in the embodiments of the present application.

[0074] The advantage of such a setting is that it can prevent other factors from affecting the first remaining power, so that the determined first remaining power is more accurate.

[0075] In order to better understand the above technical solutions as a whole, the following is an exemplary description of them in combination with specific examples. Figure 3 In response to a recommendation request input by a user, the user's driving behavior data, the current road condition data matching the itinerary route, the current environmental data matching the itinerary route, the current vehicle's remaining power, and the distance from each charging station matching the itinerary route to the current vehicle are obtained as itinerary-related data of the current vehicle. According to the itinerary-related data of the current vehicle, as well as the current distance-time correspondence and the current distance-power consumption correspondence, the first time and the first remaining power of the current vehicle traveling to each charging station matching the itinerary route are determined. The estimated number of queued vehicles at each charging station at the first time and the number of charging piles at each charging station are obtained from the cloud server to obtain the charging queue information. According to the first remaining power and the charging queue information, the charging stations are sorted, and the charging station information is recommended based on the sorting result.

[0076] In addition, the method for recommending charging station information provided in this embodiment and the method for recommending charging station information provided in the above embodiment belong to the same technical concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and the same technical features have the same beneficial effects in this embodiment and the above embodiment.

[0077] Embodiment 3

[0078] Figure 4 1 is a schematic diagram of a charging station information recommendation device provided in Embodiment 3 of the present invention. This embodiment is applicable to the case of dynamically recommending charging suggestions for electric vehicles.

[0079] See also Figure 4The charging station information recommendation device provided by the present invention is integrated in the vehicle terminal and may include:

[0080] The time and power determination module 310 is used to determine the first time and the first remaining power of the current vehicle traveling to each charging station matching the travel route in response to a recommendation request input by the user;

[0081] A charging queue information acquisition module 320 is used to acquire the charging queue information of each charging station at the first time from the cloud server;

[0082] The charging station information recommendation module 330 is used to sort the charging stations according to the first remaining power and the charging queue information, and recommend the charging station information according to the sorting result.

[0083] Optionally, the time and power determination module 310 may include:

[0084] A first distance matching unit, used to obtain the current vehicle trip related data; the trip related data includes the current remaining power and the first distance of each charging station currently matching the trip route;

[0085] A second corresponding relationship acquisition unit, used to acquire a first corresponding relationship between current distance and time consumption and a second corresponding relationship between current distance and power consumption;

[0086] A first time determination unit, configured to determine a first time for the current vehicle to travel to each charging station according to each first distance and the first corresponding relationship;

[0087] The first remaining power determination unit is used to determine the first remaining power of the current vehicle when traveling to each charging station according to the current remaining power, each first distance and the second corresponding relationship.

[0088] Optionally, based on the above solution, the trip-related data may also include at least one of the following: driving behavior data, road condition data currently matching the trip route, and environmental data currently matching the trip route. Accordingly, the first remaining power determination unit is specifically used to: input the current remaining power, each first distance, driving behavior data, road condition data, and environmental data into a machine learning model representing the second corresponding relationship, and obtain the first remaining power of the current vehicle when traveling to each charging station through the machine learning model.

[0089] Optionally, based on the above technical solution, the charging queue information is predicted by the cloud server based on the number of charging piles at each charging station and the remaining power of each vehicle when it arrives at each charging station.

[0090] Optionally, the charging station information recommendation module 330 may include:

[0091] A first target charging station determining unit, configured to determine a first target charging station from each charging station according to each first remaining power;

[0092] The first target charging station sorting unit is used to sort the first target charging stations according to the charging queue information of the first target charging stations at the corresponding first time.

[0093] Optionally, the time and power determination module 310 may be used to:

[0094] At preset time intervals, the first time and the first remaining power of the current vehicle when it travels to each charging station that matches the travel route are re-determined.

[0095] Optionally, based on the above solution, the charging station information recommendation device may further include:

[0096] A second target charging station determining module, configured to determine a second target charging station from the recommended charging station information in response to a selection instruction input by a user after recommending the charging station information according to the sorting result;

[0097] The uploading module is used to upload the first time when the current vehicle reaches the second target charging station and the first remaining power to the cloud server, so that the cloud server can determine the charging queue information.

[0098] The charging station information recommendation device provided in the third embodiment of the present invention determines the first time and the first remaining power of each charging station that matches the travel route of the current vehicle by responding to the recommendation request input by the user; obtains the charging queue information of each charging station at the first time from the cloud server; sorts each charging station according to the first remaining power and the charging queue information, and recommends the charging station information according to the sorting result. The device of the embodiment of the present invention recommends more reasonable travel charging suggestions by combining multiple factors such as the travel route, vehicle power consumption, and charging station queue conditions, which can meet the user's driving charging needs and improve the user's charging experience.

[0099] The charging station information recommendation device provided in the embodiment of the present invention can execute the charging station information recommendation method provided in the embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details not described in detail, please refer to the charging station information recommendation method provided in the embodiment of the present invention.

[0100] Embodiment 4

[0101] Figure 5 It is a structural schematic diagram of an electronic terminal provided in Embodiment 4 of the present invention. Figure 5 A block diagram of an exemplary electronic terminal 12 suitable for use in implementing embodiments of the present invention is shown. Figure 5The electronic terminal 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention. The device 12 is typically an electronic terminal that undertakes the function of recommending charging station information.

[0102] like Figure 5 As shown, the electronic terminal 12 is in the form of a general purpose computing device. The components of the electronic terminal 12 may include, but are not limited to: one or more processors or processing units 16, a memory 28, and a bus 18 connecting different components (including the memory 28 and the processing unit 16).

[0103] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. For example, these architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

[0104] The electronic terminal 12 typically includes a variety of computer readable media. These media can be any available media that can be accessed by the electronic terminal 12, including volatile and non-volatile media, removable and non-removable media.

[0105] The memory 28 may include computer device readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic terminal 12 may further include other removable / non-removable, volatile / non-volatile computer storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 5 not shown, usually called a "hard drive"). Although Figure 5Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a read-only optical disk (Compact Disc-Read Only Memory, CD-ROM), a digital video disk (Digital Video Disc-Read Only Memory, DVD-ROM) or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product 40, which has a set of program modules 42, which are configured to perform the functions of various embodiments of the present invention. The program product 40 may be stored in, for example, the memory 28, and such program modules 42 include, but are not limited to, one or more application programs, other program modules, and program data, each of which or some combination may include the implementation of a network environment. The program module 42 generally performs the functions and / or methods in the embodiments described in the present invention.

[0106] The electronic terminal 12 may also communicate with one or more external devices 14 (e.g., keyboard, mouse, camera, etc., and display), one or more devices that enable a user to interact with the electronic terminal 12, and / or any device that enables the electronic terminal 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). Such communication may be performed through an input / output (I / O) interface 22. In addition, the electronic terminal 12 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic terminal 12 through a bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic terminal 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, disk arrays (Redundant Arrays of Independent Disks, RAID) devices, tape drives, and data backup storage devices.

[0107] The processor 16 executes various functional applications and data processing by running the program stored in the memory 28, such as implementing the charging station information recommendation method provided in the above embodiment of the present invention, including:

[0108] In response to a recommendation request input by a user, determining a first time and a first remaining power of the current vehicle when the vehicle travels to each charging station matching the travel route;

[0109] Obtain the charging queue information of each charging station at the latest time from the cloud server;

[0110] The charging stations are sorted according to the first remaining power and the charging queue information, and the charging station information is recommended according to the sorting result.

[0111] Of course, those skilled in the art can understand that the processor can also implement the technical solution of the charging station information recommendation method provided in the embodiment of the present invention.

[0112] Embodiment 5

[0113] Embodiment 5 of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method for recommending charging station information provided in the embodiment of the present invention is implemented. The method includes:

[0114] In response to a recommendation request input by a user, determining a first time and a first remaining power of the current vehicle when the vehicle travels to each charging station matching the travel route;

[0115] Obtain the charging queue information of each charging station at the latest time from the cloud server;

[0116] The charging stations are sorted according to the first remaining power and the charging queue information, and the charging station information is recommended according to the sorting result.

[0117] Of course, the computer program stored in the computer-readable storage medium provided in the embodiment of the present invention is not limited to the above method operation, but can also execute the charging station information recommendation method provided in the embodiment of the present invention.

[0118] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor device, device or component, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution device, a device or a device or used in combination with it.

[0119] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution device, apparatus, or device.

[0120] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0121] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0122] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for recommending charging station information, characterized in that: Applied to vehicle terminals, including: In response to a recommendation request input by a user, determining a first time and a first remaining power of the current vehicle when the vehicle travels to each charging station matching the travel route; Obtaining charging queue information of each charging station at the first time from a cloud server; sorting the charging stations according to the first remaining power and the charging queue information, and recommending charging station information according to the sorting result; The charging queue information is obtained by the cloud server based on the number of charging piles at each charging station and the remaining power of each vehicle when it reaches each charging station; The step of determining the first time and the first remaining power of each charging station that the current vehicle travels to and matches with the travel route includes: Acquiring current vehicle trip-related data; the trip-related data includes the current remaining power and the first distance of each charging station currently matching the trip route; Obtain a first correspondence relationship between current distance and time consumption and a second correspondence relationship between current distance and power consumption; Determining a first time for the current vehicle to travel to each charging station according to each of the first distances and the first corresponding relationship; Determine a first remaining power of the current vehicle traveling to each charging station according to the current remaining power, each of the first distances, and the second corresponding relationship; Among them, the first corresponding relationship between the current distance and time consumption is the corresponding relationship between the current distance of the vehicle from the charging station and the time required to travel the current distance, and the second corresponding relationship between the current distance and power consumption is the corresponding relationship between the current distance of the vehicle from the charging station and the power required to travel the current distance.

2. The method according to claim 1, characterized in that The trip-related data further includes at least one of the following: driving behavior data, road condition data currently matching the trip route, and environmental data currently matching the trip route; Accordingly, the first remaining power of the current vehicle when traveling to each charging station is determined based on the following steps: Inputting the current remaining power, each of the first distances, the driving behavior data, the road condition data, and the environmental data into a machine learning model representing the second corresponding relationship; The first remaining power of the current vehicle when traveling to each charging station is obtained through the machine learning model.

3. The method according to claim 1, characterized in that The sorting of the charging stations according to the first remaining power and the charging queue information includes: determining a first target charging station from among the charging stations according to the first remaining power; The first target charging stations are sorted according to the charging queue information of the first target charging stations at the corresponding first time.

4. The method according to any one of claims 1 to 3, characterized in that: The step of determining the first time and the first remaining power of the current vehicle when the vehicle travels to each charging station matching the travel route includes: At preset time intervals, the first time and the first remaining power of the current vehicle when it travels to each charging station matching the travel route are re-determined.

5. The method according to any one of claims 1 to 3, characterized in that: After recommending charging station information according to the ranking results, the method further includes: In response to a selection instruction input by a user, determining a second target charging station from the recommended charging station information; The first time when the current vehicle reaches the second target charging station and the first remaining power are uploaded to the cloud server, so that the cloud server determines the charging queue information.

6. A charging station information recommendation device, characterized in that: Integrated in vehicle terminals, including: a time and power determination module, configured to determine, in response to a recommendation request input by a user, a first time and a first remaining power of the current vehicle when the vehicle travels to each charging station matching the travel route; A charging queue information acquisition module, used to acquire the charging queue information of each charging station at the first time from a cloud server; a charging station information recommendation module, configured to sort the charging stations according to the first remaining power and the charging queue information, and recommend charging station information according to the sorting result; The charging queue information is obtained by the cloud server based on the number of charging piles at each charging station and the remaining power of each vehicle when it reaches each charging station; Wherein, the time and power determination module includes: A first distance matching unit, used to obtain the current vehicle travel related data; the travel related data includes the current remaining power and the first distance of each charging station currently matching the travel route; A second corresponding relationship acquisition unit, used to acquire a first corresponding relationship between current distance and time consumption and a second corresponding relationship between current distance and power consumption; A first time determination unit, configured to determine a first time for the current vehicle to travel to each charging station according to each first distance and the first corresponding relationship; A first remaining power determination unit, configured to determine a first remaining power of the current vehicle when traveling to each charging station according to the current remaining power, each first distance and the second corresponding relationship; Among them, the first corresponding relationship between the current distance and time consumption is the corresponding relationship between the current distance of the vehicle from the charging station and the time required to travel the current distance, and the second corresponding relationship between the current distance and power consumption is the corresponding relationship between the current distance of the vehicle from the charging station and the power required to travel the current distance.

7. An electronic terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method for recommending charging station information as described in any one of claims 1-5 is implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for recommending charging station information as described in any one of claims 1 to 5 is implemented.

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